Research Resource for Complex Physiologic Signals

描述(申请人提供)：Physionet成立于1999年，是由美国国立卫生研究院赞助的复杂生理信号研究资源，在生物医学的数据和软件资源中具有卓越的地位。它的数据档案PhysioBank是第一个，也是世界上最大、最全面、使用最广泛的时变生理信号库。它的软件集合PhysioToolkit支持对PhysioBank和类似数据的探索和定量分析，以及各种记录良好、经过严格测试的开源软件，这些软件可以在任何平台上运行。Physionet的研究团队利用其他资助项目的成果来推动创建和丰富：“数据收集，在很长一段时间内提供越来越全面的、多方面的病理生理学观点，例如重症监护患者的MIMICII(重症监护中的多参数监测)数据库；”导致更及时和准确诊断的分析方法(如预测急性低血压事件)，以及阐明与疾病和衰老相关的动态变化(如睡眠呼吸障碍综合征期间的心肺相互作用)；用户界面、参考材料和服务，增加价值并改善对PhysioNet数据和软件的访问(例如，PhysioNetWorks，一个数据共享的虚拟实验室)。影响：Physionet是专家、年轻研究人员和受训人员创新研究的成熟推动者和加速器，他们致力于独立的项目和专注的生物医学工程挑战，这些挑战通过其他方式无法访问的数据成为可能。通过其PhysioNetWorks，该资源为研究人员提供了新的工具和机会，不仅可以满足NIH的数据共享任务，而且可以用可访问的、有价值的贡献来丰富数据共享。通过提供对其独特和广泛的数据和软件集合的免费访问，PhysioNet能够实现平均每月发表70篇学术论文的研究(自创建以来，由世界各地的学术、临床和行业附属研究人员进行的5000多项研究)。具体目标：未来5年，我们的目标是：1.用新技术和数据加速PhysioNet的发展；2.通过对复杂生理信号的积极研究计划推动相关创新；3.刺激和挑战日益增长的研究人员群体。 公共卫生相关性：Physionet是复杂生理信号的研究资源，维护着世界上最大、最全面、使用最广泛的时变生理信号和相关信号处理软件的存储库，并向研究社区免费提供这些数据。Physionet是专家和非专家创新研究的公认推动者和加速器，致力于独立的项目和专注的工程挑战，这些挑战可能是通过其他方式无法访问的数据实现的。

DESCRIPTION (provided by applicant): PhysioNet, established in 1999 as the NIH-sponsored Research Resource for Complex Physiologic Signals, has attained a preeminent status among data and software resources in biomedicine. Its data archive, PhysioBank, was the first, and remains the world's largest, most comprehensive and most widely used repository of time-varying physiologic signals. Its software collection, PhysioToolkit, supports exploration and quantitative analyses of PhysioBank and similar data with a wide range of well-documented, rigorously tested, open-source software that can be run on any platform. PhysioNet's team of researchers leverages results of other funded projects to drive the creation and enrichment of: " Data collections that provide increasingly comprehensive, multifaceted views of pathophysiology over long time intervals, such as the MIMIC II (Multiparameter Monitoring in Intensive Care) Database of critical care patients; " Analytic methods that lead to more timely and accurate diagnoses (such as prediction of acute hypotensive events), and elucidation of dynamical changes associated with disease and aging (such as cardiopulmonary interactions during sleep disordered breathing syndrome); " User interfaces, reference materials and services that add value and improve accessibility to PhysioNet's data and software (such as PhysioNetWorks, a virtual laboratory for data sharing). Impact: PhysioNet is a proven enabler and accelerator of innovative research by specialists, young investigators and trainees alike, working on independent projects and focused biomedical engineering challenges made possible by data that are inaccessible otherwise. Through its PhysioNetWorks, the Resource gives researchers new tools and the opportunity not merely to meet NIH data sharing mandates, but to enrich the data commons with accessible, valuable contributions. By providing free access to its unique and wide- ranging data and software collections, PhysioNet enables studies that lead to an average of 70 scholarly publications per month (well over 5000 studies since its inception by academic, clinical, and industry-affiliated researchers worldwide. Specific aims: For the next 5 years we aim to: 1. Accelerate PhysioNet's growth with new technology and data; 2. Drive relevant innovation through a vigorous research program on complex physiologic signals; 3. Stimulate and challenge a growing community of investigators. PUBLIC HEALTH RELEVANCE: PhysioNet, the Research Resource for Complex Physiological Signals, maintains the world's largest, most comprehensive, and most widely used repository of time-varying physiological signals and associated signal-processing software, and makes them freely available to the research community. PhysioNet is a proven enabler and accelerator of innovative research by specialists and non- specialists alike, working on independent projects and focused engineering challenges made possible by data that are inaccessible otherwise.